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This document describes the protocol used by the Google Data APIs, including information about what a query looks like, what results look like, and so on.

The Google Data APIs provide a simple standard protocol for reading and writing data on the web. These REST-style APIs are based on the Atom Publishing Protocol (AtomPub), using the standard Atom syndication format to represent data and HTTP to handle communication. The Google Data API protocol also extends AtomPub for processing queries, authentication, batch requests, and providing alternate output formats (JSON, RSS). Many Google services support the Google Data API protocol

The Google Data APIs provide a simple standard protocol for reading and writing data on the web. The Data APIs use either of two standard XML-based syndication formats: Atom or RSS. They also have a feed-publishing system that consists of the Atom publishing protocol plus some extensions (using Atom's standard extension model) for handling queries.

L’infrastructure utilisée par le géant de la recherche Google est un mystère que beaucoup aimeraient percer, que ce soit les concurrents ou les utilisateurs étonnés de la réactivité sans faille des services malgré un nombre d’utilisateurs record.

Google is the King of scalability. Everyone knows Google for their large, sophisticated, and fast searching, but they don't just shine in search. Their platform approach to building scalable applications allows them to roll out internet scale applications at an alarmingly high competition crushing rate. Their goal is always to build a higher performing higher scaling infrastructure to support their products. How do they do that?

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The key to the speed and reliability of Google search is cutting up data into chunks, its top engineer said. Urs Hoelzle, Google vice president of operations and vice president of engineering, offered a rare behind-the-scenes tour of Google's architecture